Titlebook: Current Challenges in Patent Information Retrieval; Mihai Lupu,Katja Mayer,Anthony J. Trippe Book Dec 20131st edition Springer-Verlag Berl

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Patent Claim Decomposition for Improved Information Extractionaused by long and complex sentences that are a concatenation of a multitude of descriptive elements. We present an approach to split patent claims into several parts in order to improve parsing performance for further automatic processing.

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What Makes Effective Whistleblowingonents of a generic full text document search system and its design implications. We then describe how the underlying models define to a large extent what the system can and cannot do. This chapter concludes with a short introduction to semantic search and an outlook to the challenges in patent IR, the main subject of this book.

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Conclusion: On Skipping History,uments. Given the expressiveness of logic-based IR, however, there is an attendant compromise on issues of scalability and quality. To address these trade-offs we suggest how a parallelised architecture can ensure that logical IR scales in spite of its expressiveness.

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Book Dec 20131st editionthe same time they are important, and economically highly relevant, legal documents. Between 1998 and 2008, the number of patent applications filed yearly worldwide grew by more than 50 percent. Yet still we see a huge gap between, on the one hand, the technologies that emerged from research labs an

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https://doi.org/10.1007/978-3-030-41920-2guages, presenting evidence that adding such triples to the words in a bag-of-terms document representation may lead to a statistically significant increase in the accuracy of document categorization.